Evidence map›Paper›PMID 27233776›Full record

ArticleProteomics2016

Exome-based proteogenomics of HEK-293 human cell line: Coding genomic variants identified at the level of shotgun proteome.

Anna A Lobas, Dmitry S Karpov, Arthur T Kopylov, Elizaveta M Solovyeva, Mark V Ivanov, Irina Y Ilina, Vassily N Lazarev, Ksenia G Kuznetsova, Ekaterina V Ilgisonis, Victor G Zgoda and 2 more

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In one paragraph

Article in Proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.6field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 27 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Anna A LobasInstitute of Biomedical Chemistry, Moscow, Russia.
Dmitry S KarpovInstitute of Biomedical Chemistry, Moscow, Russia.
Arthur T KopylovInstitute of Biomedical Chemistry, Moscow, Russia.
Elizaveta M SolovyevaInstitute for Energy Problems of Chemical Physics, Russian Academy of Sciences, Moscow, Russia.
Mark V IvanovInstitute for Energy Problems of Chemical Physics, Russian Academy of Sciences, Moscow, Russia.
Irina Y IlinaInstitute of Biomedical Chemistry, Moscow, Russia.
Vassily N LazarevResearch Institute of Physico-Chemical Medicine, Federal Medical and Biological Agency, Moscow, Russia.
Ksenia G KuznetsovaInstitute of Biomedical Chemistry, Moscow, Russia.
Ekaterina V IlgisonisInstitute of Biomedical Chemistry, Moscow, Russia.
Victor G ZgodaInstitute of Biomedical Chemistry, Moscow, Russia.
Mikhail V GorshkovInstitute for Energy Problems of Chemical Physics, Russian Academy of Sciences, Moscow, Russia.
Sergei A MoshkovskiiInstitute of Biomedical Chemistry, Moscow, Russia.
Institute of Biomedical Chemistry · RUMoscow Institute of Physics and Technology · RUFederal Medical-Biological Agency · RUInstitute of Energy Problems of Chemical Physics · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic and proteomic data were integrated into the proteogenomic workflow to identify coding genomic variants of Human Embryonic Kidney 293 (HEK-293) cell line at the proteome level. Shotgun proteome data published by Geiger et al. (2012), Chick et al. (2015), and obtained in this work for HEK-293 were searched against the customized genomic database generated using exome data published by Lin et al. (2014). Overall, 112 unique variants were identified at the proteome level out of ∼1200 coding variants annotated in the exome. Seven identified variants were shared between all the three considered proteomic datasets, and 27 variants were found in any two datasets. Some of the found variants belonged to widely known genomic polymorphisms originated from the germline, while the others were more likely resulting from somatic mutations. At least, eight of the proteins bearing amino acid variants were annotated as cancer-related ones, including p53 tumor suppressor. In all the considered shotgun datasets, the variant peptides were at the ratio of 1:2.5 less likely being identified than the wild-type ones compared with the corresponding theoretical peptides. This can be explained by the presence of the so-called "passenger" mutations in the genes, which were never expressed in HEK-293 cells. All MS data have been deposited in the ProteomeXchange with the dataset identifier PXD002613 (http://proteomecentral.proteomexchange.org/dataset/PXD002613).

Indexed as

ExomePolymorphism, GeneticAmino Acid SequenceDatasets as TopicGene OntologyHEK293 CellsHumansMolecular Sequence AnnotationMutationNeoplasm ProteinsProteomeProteomicsTumor Suppressor Protein p53Neoplasm ProteinsProteomeTumor Suppressor Protein p53BioinformaticsExomeHEK-293 cell lineProteogenomicsShotgun proteomicsSingle nucleotide variant

Identifiers

PMID27233776
OpenAlexW2406908932

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.